About the position
As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. The Team Just Walk Out (JWO) is a new kind of store with no lines and no checkout-you just grab and go! Customers simply use an app or credit card to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go! Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you're done shopping, you can just leave the store. Shortly after, we'll charge your account and send you a receipt. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths' most customer-centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design. The Role Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that's more startup than big company. We'll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems. As an Applied Scientist, you will help solve a variety of technical challenges and mentor other scientists. You will tackle challenging, novel situations every day and given the size of this initiative, you'll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that's higher than most projects and relish the idea of solving problems that, frankly, haven't been solved at scale before - anywhere. Along the way, we guarantee that you'll learn a ton, have fun and make a positive impact on millions of people. A key focus of this role will be developing and implementing advanced visual reasoning systems that can understand complex spatial relationships and object interactions in real-time. You'll work on designing autonomous AI agents that can make intelligent decisions based on visual inputs, understand customer behavior patterns, and adapt to dynamic retail environments. This includes developing systems that can perform complex scene understanding, reason about object permanence, and predict customer intentions through visual cues.
Responsibilities
- Develop and implement advanced visual reasoning systems.
- Design autonomous AI agents that can make intelligent decisions based on visual inputs.
- Understand customer behavior patterns and adapt to dynamic retail environments.
- Perform complex scene understanding and reason about object permanence.
- Predict customer intentions through visual cues.
- Mentor other scientists and tackle a variety of technical challenges.
Requirements
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
- 3+ years of building models for business application experience.
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.
- Experience programming in Python or related language.
- Experience in visual reasoning, generative AI, transformers, multi-modal models, object detection and tracking.
Nice-to-haves
- Experience in designing and implementing visual reasoning systems that can understand and interpret complex spatial relationships.
- Demonstrated experience in AI agent architecture design, including decision-making frameworks and behavioral modeling.
- Experience with advanced computer vision techniques including scene graph generation, visual relationship detection, and spatial reasoning.
- Knowledge of modern visual-language models and multi-modal AI systems.
- Experience implementing reinforcement learning for autonomous agent behavior.
- Experience in professional software development.
Benefits
- Comprehensive medical, financial, and other benefits.
- Mentorship and career growth opportunities.
- Work-life balance and flexibility.
